object RegressionTrainingNode extends Serializable
Companion object to hold helper functions
Linear Supertypes
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- def buildChild(trainingData: Seq[(Vector[AnyVal], Double, Double)], leafLearner: Learner, splitter: Splitter[Double], minLeafInstances: Int, remainingDepth: Int, maxDepth: Int, numFeatures: Int): TrainingNode[AnyVal, Double]
Build a child node by pre-computing a split
Build a child node by pre-computing a split
If there isn't a split, the child is a leaf; otherwise, the child is another training node
- trainingData
for the child
- leafLearner
to pass through
- minLeafInstances
minimum training instances per node
- remainingDepth
the number of splits left
- maxDepth
to compute depth via remainingDepth
- numFeatures
to consider in the split
- returns
the child node, either a RegressionTrainingNode or TrainingLeaf
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